How Health Communication via Tik Tok Makes a Difference: A Content Analysis of Tik Tok Accounts Run by Chinese Provincial Health Committees
Abstract
:1. Introduction
1.1. Social Media Use by Healthcare Departments
1.2. The Use of Tik Tok by Government Agencies in China
2. Materials and Method
2.1. Data Collection
2.2. Analysis of Tik Tok Accounts
3. Results
3.1. Distribution of Quantified Impact Dimension
3.2. Distribution of Video Content Dimension
3.3. Distribution of Video Form Dimension
4. Discussion
4.1. Principal Findings
4.2. Followers Are Fundamental to Health Communication on Tik Tok
4.3. Easily Understood Content and Light Format Are Critical
4.4. Audience-Centered Interactions Are Encouraged
4.5. Limitations
5. Conclusions
Author Contributions
Funding
Conflicts of Interest
References
- Wearesocial. Global Social Media Users Pass 3.5 Billion. Available online: http://wearesocial.cn/blog/2019/07/22/global-social-media-users-pass-3-5-billion/ (accessed on 10 October 2019).
- Agostino, D.; Arnaboldi, M. A Measurement Framework for Assessing the Contribution of Social Media to Public Engagement: An empirical analysis on Facebook. Public Manag. Rev. 2016, 18, 1289–1307. [Google Scholar] [CrossRef] [Green Version]
- Hong, H. Government websites and social media’s influence on government-public relationships. Public Relat. Rev. 2013, 39, 346–356. [Google Scholar] [CrossRef]
- Im, T.; Cho, W.; Porumbescu, G.; Park, J. Internet, trust in government, and citizen compliance. J. Public Adm. Res. Theory 2012, 24, 741–763. [Google Scholar] [CrossRef]
- Song, C.; Lee, J. Citizens’ Use of Social Media in Government, Perceived Transparency, and Trust in Government. Public Perform. Manag. Rev. 2016, 39, 430–453. [Google Scholar] [CrossRef]
- Zhang, W.; Xu, X.; Zhang, H.; Chen, Q. Online participation chaos: A case study of Chinese government-initiated e-polity square. Int. J. Public Adm. 2016, 39, 1195–1202. [Google Scholar] [CrossRef]
- Wearesocial. Digital 2019 Q2 Global Digital Statshot. Available online: http://wearesocial.cn/blog/2019/04/28/digital-2019-q2-global-digital-statshot/ (accessed on 10 October 2019).
- Chen, Z.; He, Q.; Mao, Z.; Chung, H.-M.; Maharjan, S. A Study on the Characteristics of Douyin Short Videos and Implications for Edge Caching. Available online: http://arxiv.org/abs/1903.12399 (accessed on 22 October 2019).
- Yang, S.; Zhao, Y.; Ma, Y. Analysis of the Reasons and Development of Short Video Application—Taking Tik Tok as an Example. In Proceedings of the 2019 9th International Conference on Information and Social Science (ICISS 2019), Manila, Philippines, 12–14 July 2019. [Google Scholar]
- Heldman, A.B.; Schindelar, J.; Weaver, J.B. Social Media Engagement and Public Health Communication: Implications for Public Health Organizations Being Truly “Social”. Public Health Rev. 2013, 35. [Google Scholar] [CrossRef] [Green Version]
- Deng, Z.; Hong, Z.; Zhang, W.; Evans, R.; Chen, Y. The Effect of Online Effort and Reputation of Physicians on Patients’ Choice: 3-Wave Data Analysis of China’s Good Doctor Website. J. Med. Internet Res. 2019, 21, e10170. [Google Scholar] [CrossRef]
- Ranney, M.L.; Genes, N. Social media and healthcare quality improvement: A nascent field. BMJ Qual. Saf. 2016, 25, 389–391. [Google Scholar] [CrossRef] [Green Version]
- Tengilimoglu, D.; Sarp, N.; Yar, C.E.; Bektaş, M.; Hidir, M.N.; Korkmaz, E. The consumers’ social media use in choosing physicians and hospitals: The case study of the province of Izmir: Choosing Physicians and Hospitals. Int. J. Health Plan. Manag. 2017, 32, 19–35. [Google Scholar] [CrossRef]
- Richter, J.P.; Muhlestein, D.B.; Wilks, C.E. Social media: How hospitals use it, and opportunities for future use. J. Healthc. Manag. 2014, 59, 447–460. [Google Scholar] [CrossRef]
- Zhang, W.; Deng, Z.; Evans, R.; Xiang, F.; Ye, Q.; Zeng, R. Social Media Landscape of the Tertiary Referral Hospitals in China: Observational Descriptive Study. J. Med. Internet Res. 2018, 20, e249. [Google Scholar] [CrossRef] [PubMed]
- Zhang, W.; Deng, Z.; Hong, Z.; Evans, R.; Ma, J.; Zhang, H. Unhappy Patients Are Not Alike: Content Analysis of the Negative Comments from China’s Good Doctor Website. J. Med. Internet Res. 2018, 20, e35. [Google Scholar] [CrossRef] [PubMed]
- Zhu, C.; Zeng, R.; Zhang, W.; Evans, R.; He, R. Pregnancy-Related Information Seeking and Sharing in the Social Media Era Among Expectant Mothers: Qualitative Study. J. Med. Internet Res. 2019, 21, e13694. [Google Scholar] [CrossRef] [PubMed]
- Syed-Abdul, S.; Fernandez-Luque, L.; Jian, W.-S.; Li, Y.-C.; Crain, S.; Hsu, M.-H.; Wang, Y.-C.; Khandregzen, D.; Chuluunbaatar, E.; Nguyen, P.A.; et al. Misleading Health-Related Information Promoted Through Video-Based Social Media: Anorexia on YouTube. J. Med. Internet Res. 2013, 15, e30. [Google Scholar] [CrossRef] [PubMed]
- Smailhodzic, E.; Hooijsma, W.; Boonstra, A.; Langley, D.J. Social media use in healthcare: A systematic review of effects on patients and on their relationship with healthcare professionals. BMC Health Serv. Res. 2016, 16. [Google Scholar] [CrossRef] [Green Version]
- Baron, R.J.; Berinsky, A.J. Mistrust in Science—A Threat to the Patient–Physician Relationship. N. Engl. J. Med. 2019, 381, 182–185. [Google Scholar] [CrossRef]
- Househ, M.; Borycki, E.; Kushniruk, A. Empowering patients through social media: The benefits and challenges. Health Inform. J. 2014, 20, 50–58. [Google Scholar] [CrossRef] [PubMed]
- Thackeray, R.; Neiger, B.L.; Smith, A.K.; Van Wagenen, S.B. Adoption and use of social media among public health departments. BMC Public Health 2012, 12. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Jha, A.; Lin, L.; Savoia, E. The Use of Social Media by State Health Departments in the US: Analyzing Health Communication through Facebook. J. Community Health 2016, 41, 174–179. [Google Scholar] [CrossRef]
- China Network Internet Information Center. The 44th China Statistical Report on Internet Development; China Network Internet Information Center: Beijing, China, 2019.
- Onion Lab and Caasdata. A Report on the Analysis of Government Tik Tok Accounts in 2018. Available online: https://www.useit.com.cn/thread-20984-1-1.html (accessed on 25 October 2019).
- Chengwei, W.; Liang, M. How do government micro-videos make a difference: A content analysis of government Tik Tok accounts. E Gov. 2019, 7, 31–40. [Google Scholar]
- Yang, P.-C.; Lee, W.-C.; Liu, H.-Y.; Shih, M.-J.; Chen, T.-J.; Chou, L.-F.; Hwang, S.-J. Use of Facebook by Hospitals in Taiwan: A Nationwide Survey. Int. J. Environ. Res. Public Health 2018, 15, 1188. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Frohlich, D.O.; Zmyslinski-Seelig, A. The Presence of Social Support Messages on YouTube Videos about Inflammatory Bowel Disease and Ostomies. Health Commun. 2012, 27, 421–428. [Google Scholar] [CrossRef] [PubMed]
- Gabarron, E.; Fernandez-Luque, L.; Armayones, M.; Lau, A.Y. Identifying Measures Used for Assessing Quality of YouTube Videos with Patient Health Information: A Review of Current Literature. Interact. J. Med. Res. 2013, 2, e6. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Tian, Y. Organ Donation on Web 2.0: Content and Audience Analysis of Organ Donation Videos on YouTube. Health Commun. 2010, 25, 238–246. [Google Scholar] [CrossRef]
- Wen, N.; Chia, S.C.; Hao, X. What Do Social Media Say About Makeovers? A Content Analysis of Cosmetic Surgery Videos and Viewers’ Responses on YouTube. Health Commun. 2015, 30, 933–942. [Google Scholar] [CrossRef]
- Yoo, J.H.; Kim, J. Obesity in the New Media: A Content Analysis of Obesity Videos on YouTube. Health Commun. 2012, 27, 86–97. [Google Scholar] [CrossRef]
- Paek, H.-J.; Kim, S.; Hove, T.; Huh, J.Y. Reduced Harm or Another Gateway to Smoking? Source, Message, and Information Characteristics of E-Cigarette Videos on YouTube. J. Health Commun. 2014, 19, 545–560. [Google Scholar] [CrossRef]
- Ma, J.; Zhang, W.; Harris, K.; Chen, Q.; Xu, X. Dying online: Live broadcasts of Chinese emerging adult suicides and crisis response behaviors. BMC Public Health 2016, 16, 774. [Google Scholar] [CrossRef] [Green Version]
- Brennan, R.L.; Prediger, D.J. Coefficient Kappa: Some Uses, Misuses, and Alternatives. Educ. Psychol. Meas. 1981, 41, 687–699. [Google Scholar] [CrossRef]
- Liang, M. Government Micro-video: Status quo, challenges and future directions. E Gov. 2019, 7, 2–10. [Google Scholar]
- Frank, L.B.; Murphy, S.T.; Chatterjee, J.S.; Moran, M.B.; Baezconde-Garbanati, L. Telling Stories, Saving Lives: Creating Narrative Health Messages. Health Commun. 2014, 30, 154–163. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Connelly, B.L.; Certo, S.T.; Ireland, R.D.; Reutzel, C.R. Signaling Theory: A Review and Assessment. J. Manag. 2010, 37, 39–67. [Google Scholar] [CrossRef]
- Hsu, Y.-C.; Chen, T.-J.; Chu, F.-Y.; Liu, H.-Y.; Chou, L.-F.; Hwang, S.-J. Official Websites of Local Health Centers in Taiwan: A Nationwide Study. Int. J. Environ. Res. Public Health 2019, 16, 399. [Google Scholar] [CrossRef] [PubMed] [Green Version]
Index | Explanation |
---|---|
Number of Likes | Total number of Likes by 20 August 2019 |
Number of Comments | Total number of Comments received by 20 August 2019 |
Number of Reposts | Total number of Reposts by 20 August 2019 |
Video Type | Refers to the different types of health communication, divided into five categories, including: cartoon, documentary, situation comedy, excerpt from TV program, excerpt from news report. |
Video Theme | Refers to the major topic involved in the micro-video, encompassing disease knowledge, daily diet, health professionals’ image promotion, healthcare info, and health reforms. |
Emotion | Refers to the major emotion involved; classified as excited, moved, humor or no specific emotion. |
Character | Refers to the character playing the leading role or being shown most during the micro-video; divided into health professionals, public figures and general public (with patients included). |
Background Music | Refers to the background music used, including no music, music selected from the Tik Tok music library, and original music. |
Language Feature | Refers to the language used, including mandarin, and other local dialects. |
Emphasized theme (Ending) | Refers to the technique of re-emphasizing the theme at the end of the micro-video. |
Length | Refers to the length of the micro-video. |
Subtitles | Refers to the technique of using subtitles to display the words spoken in the micro-video as written text. |
Province | Region | First Time Video Uploaded | Number of Followers | Number of Uploaded Videos | Number of Updates | Total Number of Likes | Number of Top 100 most liked Micro-Videos |
---|---|---|---|---|---|---|---|
Tianjin | East | Never | 26 | 0 | 0 | 0 | 0 |
Shanghai | East | Never | 4 | 0 | 0 | 0 | 0 |
Shanxi | Central | 21 June 2018 | 5145 | 133 | 133 | 31,000 | 11 |
Jilin | Central | 19 April 2019 | 13,000 | 74 | 75 | 127,000 | 14 |
Jiangxi | Central | 12 May 2019 | 614 | 19 | 19 | 2808 | 1 |
Henan | Central | 4 April 2019 | 190 | 5 | 5 | 367 | 0 |
Hubei | Central | 5 May 2019 | 8566 | 121 | 121 | 45,000 | 5 |
Hunan | Central | 10 July 2019 | 58 | 5 | 5 | 140 | 0 |
Guangdong | East | 4 September 2018 | 132,000 | 478 | 527 | 651,000 | 53 |
Hainan | East | 30 November 2018 | 274 | 9 | 9 | 580 | 0 |
Sichuan | West | 23 January 2019 | 38,000 | 97 | 105 | 196,000 | 16 |
Guizhou | West | 19 August 2019 | 54 | 12 | 12 | 51 | 0 |
Inner Mongolia | West | 25 April 2019 | 38 | 6 | 6 | 13 | 0 |
Ning Xia | West | 16 August 2019 | 11 | 3 | 3 | 27 | 0 |
Total | 197,980 | 962 | 1,015 | 1,053,986 | 100 |
Quantified Impact | Min | Max | Median | Sum |
---|---|---|---|---|
Number of Likes | 667 | 177,000 | 7,752.56 | 775,256 |
Number of Comments | 0 | 6815 | 135.97 | 13,597 |
Number of Reposts | 0 | 20,000 | 595.68 | 59,568 |
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Share and Cite
Zhu, C.; Xu, X.; Zhang, W.; Chen, J.; Evans, R. How Health Communication via Tik Tok Makes a Difference: A Content Analysis of Tik Tok Accounts Run by Chinese Provincial Health Committees. Int. J. Environ. Res. Public Health 2020, 17, 192. https://doi.org/10.3390/ijerph17010192
Zhu C, Xu X, Zhang W, Chen J, Evans R. How Health Communication via Tik Tok Makes a Difference: A Content Analysis of Tik Tok Accounts Run by Chinese Provincial Health Committees. International Journal of Environmental Research and Public Health. 2020; 17(1):192. https://doi.org/10.3390/ijerph17010192
Chicago/Turabian StyleZhu, Chengyan, Xiaolin Xu, Wei Zhang, Jianmin Chen, and Richard Evans. 2020. "How Health Communication via Tik Tok Makes a Difference: A Content Analysis of Tik Tok Accounts Run by Chinese Provincial Health Committees" International Journal of Environmental Research and Public Health 17, no. 1: 192. https://doi.org/10.3390/ijerph17010192
APA StyleZhu, C., Xu, X., Zhang, W., Chen, J., & Evans, R. (2020). How Health Communication via Tik Tok Makes a Difference: A Content Analysis of Tik Tok Accounts Run by Chinese Provincial Health Committees. International Journal of Environmental Research and Public Health, 17(1), 192. https://doi.org/10.3390/ijerph17010192